Markdown Report Writing logo

Markdown Report Writing

OrganizationPopular
NeuroAIHub
markdown-report-writing

Guide AI agents to write beautifully formatted, well-illustrated Markdown reports with proper structure, diagrams, and compatibility across GitHub and Obsidian. Use this skill whenever the user asks you to write a report, project documentation, experiment report, README, technical document, or any long-form Markdown content. Also trigger when users mention Markdown formatting, Mermaid diagrams, report templates, or document publishing.

Overview

PublisherNeuroAIHub
RepositoryBrainPilot
Skill namemarkdown-report-writing
Stars
1.1K
Forks
74
Bundled files
2
LicenseAGPL-3.0
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • 2 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by NeuroAIHub on GitHub. Read the source before you install it.

Installation

Install the Markdown Report Writing AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/NeuroAIHub/BrainPilot/tree/main/packages/skills/skills/14_Writing/markdown-report-writing
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/NeuroAIHub/BrainPilot.git /tmp/BrainPilot
mkdir -p .claude/skills
cp -r /tmp/BrainPilot/packages/skills/skills/14_Writing/markdown-report-writing .claude/skills/markdown-report-writing
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Markdown Report Writing in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Markdown Report Writing on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Markdown Report Writing is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

Markdown Report Writing

Provide expert guidance for writing professional, visually polished Markdown reports that render correctly on both GitHub and Obsidian.

Core Philosophy: Three-Layer Writing Model

When writing any Markdown report, think in three layers:

  1. Content layer — Use CommonMark / GFM + Obsidian shared syntax for all headings, paragraphs, lists, images, tables, code blocks, footnotes, task lists, math ($\LaTeX$), and Mermaid diagrams. This is your foundation.
  2. Enhancement layer — Add renderer-specific features only when necessary: GitHub <details> folding, relative links; Obsidian [[wikilink]], ![[embed]], Callout, cssclasses.
  3. Build layer — For complex layouts, table of contents generation, site styling, and slide exports, delegate to Pandoc / Quarto / MkDocs / GitHub Pages.

This ensures your output is readable, portable, automatable, and version-controllable across all target environments.

Writing Principles

Follow these rules for every report:

  1. Shared syntax first — Build the body with syntax that works on both GitHub and Obsidian (headings, links, images, tables, code blocks, footnotes, task lists, Mermaid, math).
  2. Relative paths for all assets — Place images, diagrams, and attachments in assets/ and reference them with relative paths.
  3. Enhance per target — After the core is solid, add renderer-specific enhancements:
    • GitHub: relative links, section anchors, <details>, Mermaid
    • Obsidian: wikilink, embed, callout, cssclasses
    • Web/PDF/Slides: delegate to Pandoc / Quarto / MkDocs
  4. Don't nest Markdown in HTML — GitHub strips custom HTML attributes; Obsidian won't parse Markdown inside HTML blocks. Use Markdown tables for side-by-side layouts instead of <div> flexboxes.
  5. Mermaid first for diagrams — GitHub and Obsidian both render Mermaid natively. For complex UML, generate PlantUML SVG first, then embed.
  6. Every figure needs alt text and a caption — Every code block must declare its language.
  7. Every long document must have: executive summary, table of contents (or equivalent navigation), figures with captions, and a conclusion / next-steps section.

Quality Checklist

After generating any report, verify:

  • All code blocks have language identifiers
  • All images have alt text and captions
  • All links use relative paths (no absolute paths to local files)
  • Table of contents is present (for documents with 3+ sections)
  • Mermaid diagrams render correctly
  • Footnotes are properly paired (marker + definition)
  • No complex Markdown trapped inside HTML blocks

Standard Document Skeleton

Start every report with this upgradeable structure:

md
---
title: Project Name
author: Team / Agent Name
date: YYYY-MM-DD
tags: [tag1, tag2]
---

# Project Name

> One-line summary: what problem this solves and what the conclusion is.

## Executive Summary

3-6 sentences covering background, approach, results, and conclusions.

## Background

Problem statement, context, and boundaries.

## Methods / Approach

Solution design, workflow, data, experimental conditions.

## Results

- Key finding A
- Key finding B
- Key finding C

## Conclusion / Next Steps

## Appendix & References

- [Raw data](./data/raw.csv)
- [Diagrams](./assets/fig-overview.svg)
- [Supplementary docs](./docs/appendix.md)

Layout & Typesetting Techniques

Images and Figures

Always provide alt text. Use SVG for diagrams, PNG/WebP for screenshots:

md
![System architecture diagram](./assets/fig-system-architecture.svg)
*Figure: Overall system architecture.*

[View full-size SVG](./assets/fig-system-architecture.svg)

Side-by-Side Layout (Cross-Platform Safe)

Use two-column Markdown tables as your grid system — this is the only approach that works reliably on both GitHub and Obsidian:

md
| Overview | Key Points |
|---|---|
| ![System overview](./assets/fig-overview.svg) | - 4 modules<br>- 12 interfaces<br>- Risk: data sync |

Avoid <div style="display:flex"> — styles get stripped on GitHub and block Markdown parsing on Obsidian.

Tables

Always use standard Markdown tables. Escape | inside cells with \|:

md
| Metric | Value | Notes |
|:--|--:|:--|
| Accuracy | 92.4% | Main model |
| Link to doc | [Appendix](./docs/appendix.md) | See details |

Code Blocks

Always declare the language for syntax highlighting:

md
```python
def evaluate(x: float) -> float:
    return x ** 2 + 1

### Mermaid Diagrams

Use fenced code blocks — both GitHub and Obsidian render them natively:

```md
```mermaid
flowchart LR
    Data[Data Input] --> Clean[Cleaning]
    Clean --> Analyze[Analysis]
    Analyze --> Report[Report Output]

### Math Expressions

Both GitHub and Obsidian support $\LaTeX$ via MathJax:

```md
Inline: $E = mc^2$

Block:
$$
\operatorname{F1} = \frac{2PR}{P+R}
$$

Task Lists and Collapsible Sections

md
- [x] Requirements confirmed
- [x] Data collected
- [ ] Charts reviewed
- [ ] Document published

<details>
<summary>Click to expand technical details</summary>

Keep content here plain text or simple HTML.
Avoid complex Markdown (lists, tables, formulas) inside
if the target includes Obsidian.

</details>

Footnotes

Use for citations, terminology, and data sources:

md
There is a term that needs explanation[^term].

[^term]: This is where the explanation or citation goes.

Report Templates

1. Project Report

Use when reporting project status, milestones, architecture decisions, risks, and next steps.

Required sections: Executive Summary → Background → Scope → Architecture & Design → Current Progress → Risks & Mitigation → Conclusion & Next Steps → Appendix.

Include: a system architecture diagram (Mermaid), a progress table with status per task, a risk matrix table, and a task checklist for next steps.

2. Experiment Report

Use when documenting experiments, A/B tests, benchmarks, or research findings.

Required sections: Executive Summary → Research Questions & Hypotheses → Experimental Setup → Variables → Procedure → Results → Discussion → Reproducibility → Conclusion.

Include: an environment/config table, a variables table (independent, dependent, controlled), a results comparison table, a results chart, and links to scripts/configs/raw data for reproducibility.

3. README

Use for repository introductions and project documentation.

Required sections: Project Name & tagline → Quick-start links → Description → Features → Project Structure → Quick Start (install, run, example) → Usage (with Mermaid flow) → Documentation links → Roadmap → Contributing → License.

See references/templates.md for full expanded templates with annotations.

Choosing Tools for the Job

GoalPrimary ToolAgent Should Output
Repo README / project reportPure GFM + Mermaid.md + assets/*.svg
Experiment report / PDF exportQuarto.qmd or enhanced .md → export HTML/PDF
Documentation siteMkDocs Materialdocs/ directory + nav config
DiagramsMermaid (first), PlantUML (UML)*.mmd / *.puml source + rendered *.svg
Math rendering on webMathJaxHTML site with math rendering layer
Local editing & exportTyporaPreview → export HTML/PDF
Slides / presentationQuarto Revealjs or Pandoc.qmd or .md → rendered slides

Rendering Commands

bash
# Mermaid → SVG
mmdc -i diagrams/flow.mmd -o assets/flow.svg

# PlantUML → SVG
java -jar plantuml.jar --svg diagrams/architecture.puml

# Pandoc → HTML / PDF / Revealjs
pandoc report.md -o report.html
pandoc report.md -o report.pdf
pandoc -t revealjs -s slides.md -o slides.html

# Quarto → HTML / Website / Revealjs
quarto render report.qmd --to html
quarto render report.qmd --to pdf
quarto render slides.qmd --to revealjs

File & Asset Management

Organize project files with this directory structure:

text
project/
├── README.md
├── reports/
│   ├── project-report.md
│   └── experiment-report.md
├── docs/
│   ├── index.md
│   └── appendix.md
├── assets/
│   ├── figures/
│   │   ├── fig-system-architecture.svg
│   │   └── fig-results-comparison.svg
│   ├── screenshots/
│   │   └── screenshot-dashboard-home.png
│   └── generated/
│       ├── flow-overview.svg
│       └── gantt-plan.svg
├── diagrams/
│   ├── flow-overview.mmd
│   └── architecture.puml
├── data/
│   ├── raw/
│   └── processed/
└── .github/workflows/
    └── docs-check.yml

Naming conventions: lowercase, hyphen-separated, semantic prefixes (fig- for figures, tbl- for tables, exp- for experiment data, shot- for screenshots, flow- for flowcharts). Keep both source files (*.mmd, *.puml) and derived files (*.svg) for version control and CI regeneration.

CI Quality Pipeline

Include these 4 checks for long-lived documentation:

  1. Lint Markdown — markdownlint-cli2 "**/*.md"
  2. Check TOC freshness — doctoc --dryrun .
  3. Check links — lychee --verbose --no-progress "**/*.md"
  4. Render diagrams — mmdc -i diagrams/*.mmd -o assets/generated/

Quick Reference: Per-Environment Differences

SituationGitHub ApproachObsidian Approach
Internal linksRelative paths (auto-branch-aware)[[wikilink]] or Markdown links
Embedding contentStandard ![alt](path)![[file.svg|700]]
Collapsible sections<details><summary> (safe)Heading folding or Callout
Custom stylingNot available in repo .mdCSS Snippets + cssclasses frontmatter
SlidesNot native--- separated slides in note
Dynamic viewsNot in repo .mdDataview plugin queries

References

  • references/templates.md — Full annotated templates for project reports, experiment reports, and README files
  • references/compatibility-matrix.md — Detailed compatibility table for GitHub vs Obsidian features

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Markdown Report Writing AI skill do?

Guide AI agents to write beautifully formatted, well-illustrated Markdown reports with proper structure, diagrams, and compatibility across GitHub and Obsidian. Use this skill whenever the user asks you to write a report, project documentation, experiment report, README, technical document, or any long-form Markdown content. Also trigger when users mention Markdown formatting, Mermaid diagrams, report templates, or document publishing.

Why use Markdown Report Writing on TypingMind?

Because you install it once and use it with any model. Markdown Report Writing is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Markdown Report Writing in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/NeuroAIHub/BrainPilot/tree/main/packages/skills/skills/14_Writing/markdown-report-writing. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Markdown Report Writing?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Markdown Report Writing?

As many as you like. As long as a model supports skills, you can use Markdown Report Writing with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Markdown Report Writing AI skill free?

Yes. It is published on GitHub by NeuroAIHub under the AGPL-3.0 license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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